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Confluence MCP Server

@pawankumar94

RepositoryHomepage

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

pawankumar94

About Confluence MCP Server

Confluence MCP server providing API tools for Atlassian Confluence operations including page management, space handling, and content search with built-in rate limiting and error handling.

#vertex#confluence-server#generativeai#gemini-pro#modelcontext

Confluence MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "confluence-mcp-server-pawankumar94": {
      "command": "python",
      "args": [
        "example.py"
      ]
    }
  }
}

Confluence MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Confluence MCP Server?

A Model Context Protocol (MCP) server implementation for Atlassian Confluence. It provides a set of tools for interacting with Confluence through the MCP protocol, allowing AI agents to seamlessly work with Confluence content. Built with Flask for easy deployment to Cloud Run.

How to use Confluence MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with CONFLUENCE_URL, CONFLUENCE_ACCESS_TOKEN, and optional PORT, then run python example.py to start the server locally at http://localhost:8080. For Cloud Run, build and push a Docker image, then deploy with gcloud run deploy.

Key features of Confluence MCP Server

  • Search pages and spaces using Confluence Query Language (CQL)
  • List all available Confluence spaces
  • Create, read, update, and delete Confluence pages
  • Rich metadata support for Confluence resources
  • Flask-based server for Cloud Run deployment
  • MCP tools for AI agent integration

Use cases of Confluence MCP Server

  • An AI assistant searching Confluence documentation to answer user questions
  • Automating page creation and updates across multiple spaces
  • Retrieving and summarizing page content for knowledge management
  • Integrating Confluence data into other MCP-compatible workflows

Frequently asked questions

1

What authentication does Confluence MCP Server require?

It requires a Confluence access token obtained from Atlassian Account Settings, configured via the `CONFLUENCE_ACCESS_TOKEN` environment variable.

2

How do I deploy Confluence MCP Server to Cloud Run?

Build the Docker image, tag and push it to Google Container Registry, then run `gcloud run deploy` with your Confluence URL and access token set as environment variables.

3

What transport does Confluence MCP Server use?

The server runs as a Flask web application, exposed over HTTP on port 8080 (configurable).

4

What happens when an error occurs?

All tools include proper error handling and return an error response in the format `{"error": "error message"}`.

5

Where is Confluence data stored?

Data is accessed live from your Atlassian Confluence instance using the provided URL and token; no data is stored locally by the server.

Comments

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